FReET - reliability analysis software
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What is FReET?
- FReET is a multipurpose probabilistic software for statistical, sensitivity and reliability analysis of engineering problems. It allows to simulate uncertainties of the problem at random variables level (typically in civil/mechanical engineering – material properties and loading, geometrical imperfections).
- FReET includes state-of-the-art probabilistic simulation algorithms to compute the probabilistic response and reliability. It is developed in C++ and optimized for speed.
- FReET is a modular computer system for performing probabilistic analysis of engineering problems developed mainly for computationally intensive deterministic modeling such as FEM packages, and any user-defined subroutines. Therefore small-sample simulation techniques are preferred. The most successful FEM integration represents the combination with nonlinear fracture mechanics software for analysis of concrete structures ATENA.
- FReET can be purchased as a stand-alone program or it is part of the Probabilistic SARA studio , which combines the strength of FREET and ATENA into a single powerful application for reliability assessment of structures.
Response/Limit state function
- Closed form (direct) using implemented Equation Editor (simple problems).
- Numerical (indirect) using user-defined DLL function prepared practically in any programming language (C++, Fortran, Java, Basic, etc.).
- General interface to third-parties software using user-defined *.BAT or *.EXE programs based on input and output text communication file.
- Multiple functions assessed in same simulation run.
Probabilistic techniques
- Crude Monte Carlo simulation
- Latin Hypercube Sampling (3 types)
- Curve fitting
- Simulated Annealing
- First Order Reliability Method (FORM)
- Nataf Transformation
Stochastic model (inputs)
- Friendly Graphical User Interface (GUI)
- 30 probability distribution functions (PDF)
- Description of random variables optionally by statistical moments/parameters/combination of moments and parameters, PDF calculator
- Statistical correlation
- Categories and comparative values for PDFs
- Basic random variables visualization
- User/Theory/Examples manuals
Results features (outputs)
- Histograms and empirical cumulative distribution functions (CDF)
- Statistics of response
- Statistical tests for suitability of PDF
- Nonparametric-rank order sensitivity analysis
- Parameter variation analysis (deterministic what-if-study)
- Advanced statistical visualization
- Reliability estimation: failure probability, reliability index
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